MIRA: A Multimodal Illustrated Deep Research Agent for Controllable Reports
We introduce MIRA, a Multimodal Illustrated Deep Research Agent for controllable reports.
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Key points
- Deep research agents are increasingly capable of searching the open web and synthesizing evidence, yet they remain poorly suited to controllable report generation in multimodal deep research.
- This task requires agents to handle interleaved textual and visual inputs, gather multimodal evidence through multi-step web search, and deliver comprehensive illustrated reports under user-specified requirements.
- MIRA integrates textual and visual evidence throughout research and writing.
- Using Qwen3.6-35B-A3B, MIRA achieves state-of-the-art performance among open agents on 7 representative, established multimodal-search and deep-research-agent benchmarks, while producing user-aligned illustrated reports with traceable textual and visual evidence.
Sources (1)
- [1]MIRA: A Multimodal Illustrated Deep Research Agent for Controllable ReportsarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 19, 07:24 AM
We introduce MIRA, a Multimodal Illustrated Deep Research Agent for controllable reports.
Deep research agents are increasingly capable of searching the open web and synthesizing evidence, yet they remain poorly suited to controllable report generation in multimodal deep research.
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